Training in progress, step 100

config.json

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+{
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+    "HieraForImageClassification"
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+  "decoder_hidden_size": null,
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+  "depths": [
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+  "embed_dim": 96,
+  "embed_dim_multiplier": 2.0,
+  "hidden_act": "gelu",
+  "hidden_size": 768,
+  "id2label": {
+    "0": "benign",
+    "1": "malignant",
+    "2": "normal"
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+  "image_size": [
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+    224
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+  "label2id": {
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+    "malignant": 1,
+    "normal": 2
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+  "layer_norm_eps": 1e-06,
+  "layer_norm_init": 1.0,
+  "mask_ratio": 0.6,
+  "masked_unit_attention": [
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+    false
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+  "masked_unit_size": [
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+    8
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+  "mlp_ratio": 4.0,
+  "model_type": "hiera",
+  "norm_pix_loss": true,
+  "normalize_pixel_loss": true,
+  "num_channels": 3,
+  "num_heads": [
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+    4,
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+  "num_layers": 4,
+  "num_query_pool": 3,
+  "out_features": [
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+  "out_indices": [
+    4
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+  "patch_padding": [
+    3,
+    3
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+  "patch_size": [
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+    7
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+  "patch_stride": [
+    4,
+    4
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+  "problem_type": "single_label_classification",
+  "query_stride": [
+    2,
+    2
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+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.53.1",
+  "use_separate_position_embedding": false
+}

model.safetensors

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preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
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+  "default_to_square": false,
+  "device": null,
+  "disable_grouping": null,
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+    0.456,
+    0.406
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+  "image_processor_type": "BitImageProcessorFast",
+  "image_std": [
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+    0.224,
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+  "input_data_format": null,
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "return_tensors": null,
+  "size": {
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+  }
+}

runs/Jul05_23-28-57_50943675aa63/events.out.tfevents.1751758146.50943675aa63.10911.0

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training_args.bin

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